RENAL
发表于 2025-3-25 04:12:28
Kevin Mulliganhe division between internal and external history, between history of ideas and sociology of science, has been harmful not only to our understanding of scientific rationality but also to our understanding of the social processes of scientific development. Just as philosophy of science must be inform
doxazosin
发表于 2025-3-25 11:05:48
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grenade
发表于 2025-3-25 11:44:38
Fall 18,er Max (M) über den Zaun auf das Grundstück und pflückt 20 Kilogramm Äpfel. Ein Kilogramm dieser Äpfel ist einen € wert. M verkauft die Äpfel für 20 € an die gutgläubige Nachbarsfrau Claudia (C), der er glaubhaft erzählt, es handele sich um selbstgepflückte Äpfel aus dem eigenen Garten. Durch einen
addict
发表于 2025-3-25 16:30:46
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侵略
发表于 2025-3-25 20:52:57
G-Rep: geometry and feature representation for an integration with knowledge based design systemsmposition to G-Rep solids by a new, unique composition operator ’⊗’. This operator combines basic volumes to G-Rep solids according to a density value each of them is assigned. The main property of this operator is its commutativity and associativity, enabling a declarative way of geometry modelling
影响
发表于 2025-3-26 00:27:33
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Peristalsis
发表于 2025-3-26 07:22:50
ures, and the ways in which modernity is affecting traditional orderings. They also offer us, in all candidness, an invaluable cautionary tale emanating from their endeavors, showing us how the Western concept of social assistance is in need of urgent revision.
CEDE
发表于 2025-3-26 10:25:05
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Occipital-Lobe
发表于 2025-3-26 15:31:38
Beables, Primitive Ontology and Beyond: How Theories Meet the Worldspell out the relations as well as the main differences existing among such perspectives, which unfortunately remain often unnoticed in literature. Indeed, it is not uncommon to see Bell’s views conflated with the PO programme, and the latter with Esfeld and Deckert’s proposal. It will be our task to clear up this confusion.
极少
发表于 2025-3-26 19:52:24
Lecture Notes in Computer Scienceoom for researchers. This paper emphasizes automatic FER on a single image for real-time emotion recognition using transfer learning. Since natural images suffer from problems of resolution, pose, and noise, this study proposes a deep learning approach based on transfer learning from a pre-trained V